An updated Italian normative dataset for the Stroop color word test (SCWT)

An updated Italian normative dataset for the Stroop color word test (SCWT)
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DOI:
10.1007/s10072-015-2428-2
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发表时间:
2016-03-01
影响因子:
3.3
通讯作者:
Girtler, N.
Girtler, N.
中科院分区:
医学4区
文献类型:
--
作者:
Brugnolo, A.;De Carli, F.;Girtler, N.

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Stroop color and word test (SCWT)被广泛用于评价注意力、信息处理速度、选择性注意和认知灵活性。意大利人口的标准值仅适用于选定的年龄组,或适用于测试的简短版本。本研究的目的是提供完整版本的最新正常值,平衡不同性别、年龄、年龄和教育程度的群体。从192名正常受试者的表现中得出两种指标,按年龄(20 - 90岁)和教育程度(3-5岁、6-8岁、9-13岁、0 -13岁4个等级)划分。它们是(i)每个表在前30秒内的正确答案(单词项目,WI;颜色项目,CI;颜色单词项目,CWI)和(ii)阅读三个表所需的总时间(单词时间,WT;颜色时间,CT;颜色单词时间,CWT)。对于每个指标,以年龄、教育程度和性别作为自变量对回归模型进行评价。然后按照等效分数法计算规范数据。在回归模型中,年龄和受教育程度对6个指标的表现均有显著影响,而性别对6个指标的表现无显著影响。本研究证实了年龄和受教育程度对Stroop测试主要指标的影响,并为意大利健康人群提供了最新的规范数据,这些数据在年龄、受教育程度和性别方面都很平衡。这将有助于意大利研究人员在健康和疾病中研究注意力功能。
The Stroop color and word test (SCWT) is widely used to evaluate attention, information processing speed, selective attention, and cognitive flexibility. Normative values for the Italian population are available only for selected age groups, or for the short version of the test. The aim of this study was to provide updated normal values for the full version, balancing groups across gender, age decades, and education. Two kinds of indexes were derived from the performance of 192 normal subjects, divided by decade (from 20 to 90) and level of education (4 levels: 3-5; 6-8; 9-13; > 13 years). They were (i) the correct answers achieved for each table in the first 30 s (word items, WI; color items, CI; color word items, CWI) and (ii) the total time required for reading the three tables (word time, WT; color time, CT; color word time, CWT). For each index, the regression model was evaluated using age, education, and gender as independent variables. The normative data were then computed following the equivalent scores method. In the regression model, age and education significantly influenced the performance in each of the 6 indexes, whereas gender had no significant effect. This study confirms the effect of age and education on the main indexes of the Stroop test and provides updated normative data for an Italian healthy population, well balanced across age, education, and gender. It will be useful to Italian researchers studying attentional functions in health and disease.